Software product lines is one of the most promising approaches in software engineering to achieve the elusive goals of increased productivity and quality. For software intensive systems, a reuse-driven product line approach will potentially reduce time-to-market, and improve product quality while reducing uncertainty on cost and schedule estimates. Additional benefits include longer time IN mar...

The performance of multiprogrammed shared-memory multiprocessors suffers often from scheduler interventions that neglect data locality. On cachecoherent distributed shared-memory (DSM) multiprocessors, such scheduler interventions tend to increase the rate of remote memory accesses. This paper presents a novel dynamic page migration algorithm that remedies this problem in iterative parallel pro...

This study analyzes the limitations of EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization) Multiple from perspective going concern principle. A new Adjusted that complements is generated applied to real-world cases for comparison. used assess if target company undervalued or overvalued; adjusted determine time taken recover total acquisition cost a in an M&A transaction. Sam...

Word embeddings are a powerful approach for analyzing language, and exponential family embeddings (EFE) extend them to other types of data. Here we develop structured exponential family embeddings (S-EFE), a method for discovering embeddings that vary across related groups of data. We study how the word usage of U.S. Congressional speeches varies across states and party affiliation, how words a...

Large corporations fund their capital and operational expenses by issuing bonds with a variety of indexations, denominations, maturities and amortization schedules. We propose a multistage linear stochastic programming model that optimizes bond issuance by minimizing the mean funding cost while keeping leverage under control and insolvency risk at an acceptable level. The funding requirements a...

Market innovations following the financial reforms of the early 1980’s relaxed collateral constraints on household borrowing. This paper examines the contribution of this development to the macroeconomic stabilization that occurred shortly thereafter. The model combines collateral constraints on households with heterogeneity of thrift in a calibrated general equilibrium setup. We use this tool ...

Parallel algorithms are often rst designed as a sequence of rounds where each round includes any number of independent constant time operations This so called work time presentation is then followed by a processor scheduling implementation on a more concrete computational model Many parallel algorithms are geometric decaying in the sense that the sequence of work loads is upper bounded by a dec...

We analyze a data-processing system with n clients producing jobs which are processed in batches by m parallel servers; the throughput critically depends on batch size and corresponding sub-additive speedup function that arises due to overhead amortization. In practice, optimization relies numerical searches for optimal is computationally cumbersome. this paper, we model terms of closed queuein...

Abstract Annealed Importance Sampling (AIS) is a popular algorithm used to estimates the intractable marginal likelihood of deep generative models. Although AIS guaranteed provide unbiased estimate for any set hyperparameters, common implementations rely on simple heuristics such as geometric average bridging distributions between initial and target distribution which affect estimation performa...